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Selective dissemination of information (SDI) is an information alerting service designed to keep individuals informed of new developments in their particular fields of interest. This investigation evaluated the use of SDI by basic research scientists working in a corporate environment. The following conceptual areas were considered in developing the best model of SDI use and productivity: 1, background of the individual; 2, work environment; 3, need to keep abreast of new research developments; 4, use of information sources; and 5, product‐ivity or number of papers published. One hundred and fifty‐six scientists met the entrance criteria and were analysed using both descriptive and inferential statistics. Multivariate models revealed several interesting patterns. Frequency of SDI use was found to be related to the work environment, need to keep abreast of new research developments, and use of primary and secondary information sources, including patents. Productivity was found to be related to background characteristics of the scientist, the work environment, need to keep abreast of new research developments and the use of a variety of information sources. Based on these research findings, scientists who use SDI on a regular basis appear to be more productive than their colleagues who are infrequent users, or who do not subscribe to the service.

The purpose of this paper is to analyze the influencing factors of new logistics service product design (NLSPD) in China to establish a theoretical framework for the future development of the logistics industry.

The paper adopts the multi-case study method based on a sample of four Chinese logistics enterprises, in which the authors consider the logistics service maturity (LSM), a distinct characteristic of logistics enterprises.

NLSPD is directly related to the degree of supply–demand matching (SDM) and LSM. Customer demand, service capability and peer competition influence the performance of NLSPD through the SDM degree, whereas LSM moderates these influencing mechanisms. Moreover, the degree of SDM has a positive impact on LSM.

The findings can help the managers of logistics enterprises and practitioners in the logistics industry understand the complexity of NLSPD. First, they should broaden and deepen their service offering to enhance the degree of LSM. Second, they should pay attention to the factors that affect SDM systematically. Finally, it is vital to balance the relationship between LSM and SDM.

NLSPD has become an important tool affecting the competitiveness and sustainability of logistics service enterprises. This is the first paper to propose a theoretical framework for NLSPD that considers the characteristic of the logistics industry. It clarifies the mechanisms of influencing factors, and contributes to the literature by filling the research gap.